
|
17 Sep 2019
A DEEP LEARNING APPROACH FOR URBAN UNDERGROUND OBJECTS DETECTION FROM VEHICLE-BORNE GROUND PENETRATING RADAR DATA IN REAL-TIME
Z. Zong, C. Chen, X. Mi, W. Sun, Y. Song, J. Li, Z. Dong, R. Huang, and B. Yang
Viewed
Total article views: 1,595 (including HTML, PDF, and XML)
| HTML |
PDF |
XML |
Total |
BibTeX |
EndNote |
| 981 |
581 |
33 |
1,595 |
81 |
127 |
- HTML: 981
- PDF: 581
- XML: 33
- Total: 1,595
- BibTeX: 81
- EndNote: 127
Views and downloads (calculated since 17 Sep 2019)
Cumulative views and downloads
(calculated since 17 Sep 2019)
Viewed (geographical distribution)
Total article views: 1,517 (including HTML, PDF, and XML)
Thereof 1,514 with geography defined
and 3 with unknown origin.
|
| Total: |
0 |
| HTML: |
0 |
| PDF: |
0 |
| XML: |
0 |
Cited
Latest update: 31 Oct 2025